The Friction: "Founder's Vision" vs. "New Exec Reality"
Transitioning to President while bringing in Sofya and Sonali marks a massive evolution for Butter. You are now the guardian of the core vision: solving "Accidental Churn" with elite math. But for a Founder in this new seat, this creates a specific friction. The Friction: Your proprietary ML models analyze 128+ data points in real-time. That compute intensity is what makes the product work. But to a new C-Suite focused on Series B metrics, that high-fidelity compute looks like "Cost of Goods Sold" (COGS) bloat. You risk a culture clash where the new leadership tries to "dumb down" your models to save AWS costs, potentially hurting the recovery rates that define your brand.
The Risk: The "Black Box" Margin Trap
You raised your $10M extension in May 2024. The clock is ticking for a massive Series B in 2026. The Strategic Risk:
Valuation Compression: Investors value Fintechs on Gross Margins. If your "Payment Recovery" engine is expensive to run because of unoptimized Snowflake/Airflow pipelines, your valuation takes a hit.
Legacy Defense: As the new CTO audits the stack, she will look for "quick wins." If your original ML infrastructure is seen as "legacy waste," you lose political capital. You need your original architecture to prove it can be both brilliant and efficient.
The Solution: 2bcloud as Your "Founder's Ops" Team
We don't touch the math; we optimize the machine it runs on. Think of 2bcloud as the Neutral Party that aligns your vision with the new C-Suite's goals. We handle the heavy lifting of the AWS backend, implementing Spot Instances for your retraining pipelines and optimizing Snowflake Credit usage, so you can demonstrate to the board that your "Cadillac" product runs on a "Civic" budget.
The Economics: The "Series B" Clean-Up
Because it has been 1.5 years since your last major capital injection, efficiency is the narrative for 2026. The Net Result: As an AWS Premier Partner, we unlock the Optimization Licensing Assessment (OLA). This is a fully funded audit where we find wasted spend in your environment. We typically find 20-30% savings without changing your core algorithms. This gives you a "clean bill of health" to hand to Sofya and the board, proving that the technology is ready to scale.
What We Handle (So You Can Focus on Vision):
ML Inference Optimization: We help architect your real-time inference layers (likely SageMaker or ECS) to run on AWS Graviton processors. This lowers the cost per prediction by up to 40% without sacrificing the accuracy of your "Dynamic Retry" logic.
Data Pipeline Efficiency: You process millions of transaction events. We audit your Airflow and Snowflake usage to ensure you aren't paying for idle compute during low-volume hours.
Security & Trust (FTR): Your new CCO (Charles) needs to sell to banks. We run the Foundational Technical Review (FTR) to validate your security posture, ensuring your "Founder-led" architecture meets "Enterprise-led" compliance standards.
FinOps Visibility: We give you the data to show the new CEO exactly why certain models cost more, linking spend directly to "Revenue Recovered."
How We Fund This Engagement (2026 Programs):
Based on Butter Payments’ profile (Fintech, AI, Scale-Up), we would target:
Optimization Licensing Assessment (OLA): A fully funded deep-dive to identify and cut wasted spend immediately.
Generative AI Innovation Funds: Credits to support the R&D of new payment intelligence models.
AWS Fintech Accelerators: Funding specifically for payment recovery platforms modernizing their stack.
Proposed Next Step
I’ve drafted this based on your transition to President and the need to align your technical vision with the new efficiency mandate. I’d love to verify if these margin and model goals match your 2026 roadmap.
